Job descriptionAt EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. We are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting-edge data and AI solutions for our enterprise clients. Design and architect end-to-end AI and data solutions on Azure or AWS or Google GCS, leveraging modern data and AI platforms such as Snowflake and Databricks Develop comprehensive architecture blueprints including data pipeline, storage, analytics, and AI/ML capabilities Define data and AI governance frameworks, security protocols, and compliance standards aligned with industry regulations Serve as the trusted technical advisor in a specific area to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries Contribute to architecture review boards and input to technical governance throughout project lifecycles Deliver the implementation of data lakes, data warehouses, and lakehouse architectures Ensure solutions are optimised for performance, cost-efficiency, and scalability Understanding of building and integrating Agentic AI solutions into existing cloud platforms STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field One or more AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP Proven track record of architecting enterprise-scale data, analytics or ML solutions for organisations in at least one of the following sectors: consumer products, retail, health, energy or life sciences Able to contribute to the design of end to end AI and data solutions across multiple cloud platforms Expertise in at least one of the following data and AI services: Microsoft Azure, AWS , Google GCP Hands on experience with Microsoft Fabric, Snowflake and/or Databricks Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies Coaching mindset to support the development of junior team members Understanding of AI Architecture front end, UI/UX, and how AI is consumed Experience or understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry Experience with domain-specific use cases such as commercial, supply chain, finance or operations EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. #